• DocumentCode
    2544627
  • Title

    A survey of techniques for face reconstruction

  • Author

    Suen, Ching Y. ; Langaroudi, Arash Zaryabi ; Feng, Chunghua ; Mao, Yuxing

  • Author_Institution
    Concordia Univ., Montreal
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    3554
  • Lastpage
    3560
  • Abstract
    This paper presents a study on some approaches in face reconstruction and the methodology used. The results and drawbacks of each method are discussed. To construct the 3D face model there are some methods which select the features automatically or manually. First a method in textured 3D face reconstruction using two 2D images from any angle is discussed which does not need any particular database, but it has to define the feature points manually. Then we describe automatic 2D to 3D face reconstruction from a single frontal face image which needs the use of USF Human ID 3-D database. Afterwards we talk about a Model Based Face Reconstruction for Animation. We also describe briefly about 3D face modeling by fusing multiple 2D images which is fully automatic and via an EM approach which uses the shape and pose parameters. Finally we describe a Rapid Modeling of Animated Faces from Video method and 2D face reconstruction using a minimum set of feature points.
  • Keywords
    computer animation; face recognition; image reconstruction; visual databases; 3D face reconstruction; EM approach; frontal face image; human ID 3D database; Cameras; Face; Facial animation; Humans; Image databases; Image reconstruction; Machine intelligence; Pattern recognition; Shape; Spatial databases; Face Reconstruction; Pose estimation; feature point; texture generating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413901
  • Filename
    4413901